Corn crop row skeleton extraction method based on largest square principle
A technology for extracting the largest square and skeleton, which is applied in the field of crop row navigation line detection for automatic walking of agricultural machinery or automatic alignment of precision pesticide application machinery, and the field of corn crop row skeleton extraction, which can solve the problem of poor adaptability and affect the accuracy of navigation lines , multiple redundant branches, etc., to achieve the effect of maintaining continuity
Active Publication Date: 2015-12-02
ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
View PDF1 Cites 15 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Although the above studies on skeleton line extraction are largely topological, it is difficult to guarantee the stability and pixel unity of the skeletons extracted by these algorithms for objects with complex backgrounds, so further research is needed. research and experiments
[0004] The Chinese invention patent application "Crop Row Detection Method Based on Minimum Tangent Circle and Morphological Principle" filed on June 30, 2015 with the application number 2015103642669 uses the principle of minimum tangent circle to extract the central crop row skeleton, which is well connected However, there are many redundant branches in the skeleton extracted by morphological refinement, which affects the accuracy of navigation line fitting and is not adaptable.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0036] The present invention is specifically described below by means of drawings and examples.
[0037] Such as figure 1 As shown, a corn crop row skeleton extraction method based on the principle of maximum square, the steps are as follows:
[0038] S1: Use a CCD industrial camera to collect images of corn crop rows in the field, and obtain 8-bit RGB color images of corn crop rows.
[0039] The CCD industrial camera model MV-VD030SC produced by Weishi Digital Image Technology Co., Ltd. and the AFT-0814MP lens were used to collect cornfield images. The shooting time was July 2015. The output of the image was an 8-bit RGB color image, after decolorization. The black and white image is shown in Fig. 2(a). Save the RGB color image in the computer program in BMP format. The computer used to process images of corn crop rows is configured as Intel(R) Core(TM) i3, 3.1GHz, 2G memory, and the research and development are carried out under the MFC application framework under Micros...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a corn crop row skeleton extraction method based on a largest square principle. The method comprises the steps that a corn crop row RGB color image is acquired; gray-scale processing is carried out on the corn crop row image through an improved over green gray-scale method; the acquired gray-scale image is segmented through median filtering; binarization operation is carried out on the image after median filtering; morphology operation is carried out on the binarized image to acquire a crop row contour image; a corn crop row skeleton extraction algorithm based on the largest square principle is used to extract the skeleton line of a corn crop row; and a conventional random Hough transform algorithm is used to acquire a crop row navigation line. According to the invention, accurate position information can be provided for the navigation line; high robustness is realized for crop row edge noise; the unity and the stability of the corn crop row skeleton are kept; the number of redundant branches of an extracted skeleton is the least; and good adaptability and immunity are realized for an image with a complex background.
Description
technical field [0001] The invention relates to the technical field of crop row detection, in particular to a method for extracting corn crop row skeletons based on the maximum square principle, which is mainly used in the detection of crop row navigation lines for automatic walking of agricultural machinery or automatic alignment of precision pesticide application machines. Background technique [0002] In the research of modern precision agriculture system, precision pesticide application technology occupies an important position, but the extraction of crop row skeleton line plays an important role in the acquisition of pesticide application machine navigation information. Digital image processing algorithm has great advantages in automatic identification, and it is the basis and key technology of modern precision pesticide application technology. Although the crop row skeleton extraction algorithms studied in the past have strong topological properties to a large extent, ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/13G06F2218/02G06F2218/08
Inventor 刁智华王子成毋媛媛钱晓亮陈志武吴贝贝魏玉泉刁春迎
Owner ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY